關於 explainable machine learning ，我們在網路上蒐集到這些相關的討論、資訊與評價

#11. Comparative analysis of explainable machine learning ...

Explainable ML models allow us to compare models differently than by using performance metrics like AUC alone. They also highlight important ...

#12. Explainable machine learning in materials science

EXplainable Artificial Intelligence (XAI) is an emerging field in which the explainability of advanced machine learning models is ...

#13. Interpretability versus explainability

For AI/ML methods, the terms interpretability and explainability are commonly interchangeable. It is important to distinguish the difference between ...

#14. Explainable artificial intelligence (XAI) in deep learning- ...

This survey presents an overview of explainable artificial intelligence (XAI) used in deep learning-based medical image analysis. A framework of XAI ...

#15. Learn Machine Learning Explainability Tutorials

Machine Learning Explainability. Extract human-understandable insights from any model. 4 hours to go. Begin Course. Course. Discussion ...

#16. Explainable AI

Explainable AI is a set of tools and frameworks to help you understand and interpret predictions made by your machine learning models, natively integrated ...

#17. Explainable AI, LIME & SHAP for Model Interpretability

Many industries and Organizations are using artificial intelligence and machine learning models to make informed decisions. However, as these technologies ...

#18. Explainable AI and machine learning: performance ...

Explainable AI and machine learning: performance evaluation and explainability of classifiers on educational data mining inspired career ...

#19. Explainable Artificial Intelligence (XAI) (Archived)

Explainable AI—especially explainable machine learning—will be essential if future warfighters are to understand, appropriately trust, and effectively manage an ...

#20. Explainable AI: A Review of Machine Learning ...

Explainability, on the other hand, is associated with the internal logic and mechanics that are inside a machine learning system. The more explainable a model, ...

#21. Interpretability - MATLAB & Simulink

More specifically, interpretability describes the ability to understand the reasoning behind predictions and decisions made by a machine learning model.

#22. An End-to-End Guide to Model Explainability

Model explainability refers to the concept of being able to understand the machine learning model. For example – If a healthcare model is ...

#23. Explainable Machine Learning Challenge

For their achievements, the IBM team earned a $5,000 prize. Receiving Honarable Mention and overall second place was New York University's team, comprised of ...

#24. Applied Machine Learning Explainability Techniques

書名：Applied Machine Learning Explainability Techniques: Make ML models explainable and trustworthy for practical applications using LIME, SHAP, ...

#25. Explainable AI - RISE

The ability to interpret decisions made by machine learning algorithms helps ensure important criteria such as safety, fairness, unbiasedness, privacy, and ...

#26. Explainable Machine Learning with Prior Knowledge

The complexity of machine learning models has elicited research to make them more explainable. However, most explainability methods cannot ...

#27. Explainability

Explainability (also referred to as “interpretability”) is the concept that a machine learning model and its output can be explained in a way that “makes ...

#28. Introduction to Explainable AI (ML Tech Talks) - YouTube

This talk introduces the field of Explainable AI, outlines a taxonomy of ML ... Interpretable vs Explainable Machine Learning.

#29. Explainability in Machine Learning

Explainability in machine learning is the process of explaining to a human why and how a machine learning model made a decision. Model ...

#30. Explainable AI: The Importance Of Adding Interpretability ...

XAI provides techniques, processes and systems that allow humans to trust and have confidence in machine learning algorithms.

#31. Interpretable Machine Learning (IML) / Explainable AI (XAI)

Interpretable Machine Learning (IML) / Explainable AI (XAI). Machine learning models are often referred to as black boxes because their predictions are ...

#32. explainable-ml · GitHub Topics

Debugging, monitoring and visualization for Python Machine Learning and Data ... Interpretability and explainability of data and machine learning models.

#33. Explainable Deep Learning: : A Field Guide for the Uninitiated

The field's complexity is exacerbated by competing definitions of what it means “to explain” the actions of a DNN and to evaluate an approach's ...

#34. Building explainability into the components of machine ...

MIT researchers have created a taxonomy and outlined steps that developers can take to design features in machine-learning models that are ...

#35. Explainable Machine Learning

@ExplainableML. Explainable Machine Learning group of the Cluster of Excellence Machine Learning | XAI - ZeroShot - Multimodality |.

#36. Explainable Machine Learning for Scientific Insights and ...

PDF | Machine learning methods have been remarkably successful for a wide range of application areas in the extraction of essential information from.

#37. Explainable machine learning for public policy: Use cases, ...

Explainability is highly desired in machine learning (ML) systems supporting high-stakes policy decisions in areas such as health, ...

#38. Explainable Deep Learning AI - 1st Edition

Explainable Deep Learning AI: Methods and Challenges presents the latest works of leading researchers in the XAI area, offering an overview of the XAI area, ...

#39. Explainable AI | Administration and support services

Explainable AI. Machines we can trust, learn from and collaborate with. by David Silverman. Artificial intelligence (AI) systems can ...

#40. 4 explainable AI techniques for machine learning models

Explainable AI techniques are still a work in progress. For many organizations, applying these techniques to machine learning models is a ...

#41. Exploring Explainable AI with LIME Technology - Steadforce

Explainable AI methods, such as LIME, allow to explain and interpret the predictions of machine learning models. They offer a solution for the trade-off ...

#42. Explainable artificial intelligence

Explainable machine learning (ML) enables human learning from ML, human appeal of automated model decisions, regulatory compliance, and security audits of ML ...

#43. How to build explainability in a machine learning project

How to build explainability in a machine learning project · Data: Make sure the sample data is an accurate representation of the population.

#44. Explainable Machine Learning for Scientific Insights and ...

Machine learning methods have been remarkably successful for a wide range of application areas in the extraction of essential information ...

#45. Interpretability vs Explainability: The Black Box of Machine ...

Interpretability has to do with how accurate a machine learning model can associate a cause to an effect. Explainability has to do with the ...

#46. What is Explainable Artificial Intelligence?

Explainable artificial intelligence is the process of understanding how and why a machine learning model makes its predictions.

#47. Machine Learning Explainability vs Interpretability

Interpretability is about the extent to which a cause and effect can be observed within a system. Or, to put it another way, it is the extent to ...

#48. Objective Criteria for Explainable Machine Learning

Explainable machine learning is one of the main research fields dedicated to understanding complex machine learning models. While there are ever ...

#49. Explainability In Machine Learning: Top Techniques

TL;DR: explainability is a tool in the toolbox that helps teams understand the decisions made by their models and the impact those decisions ...

#50. Explainable AI using visual Machine Learning visualisations

Explainability SAREFMachine Learning ... Machine Learning (ML) algorithms play a significant role in the InterConnect project.

#51. Explainable AI (XAI) and Interpretable Machine Learning ...

Intrinsically explainable - An intrinsically explainable model is designed to be simple and transparent enough that we can get a sense for how ...

#52. Explainable AI (XAI): A survey of recents methods ...

To this end, eXplainable Artificial Intelligence (XAI) has become a hot research topic in the machine learning community.

#53. Explainable Machine Learning Models—with Interactivity

The fundamental concept behind interpretability and explainability; An overview of various explanability techniques; How to interpret opaque machine learning ...

#54. Building explainable machine learning models

How can we make machine learning models explainable? ... One approach is to avoid highly opaque models such as Random Forest, or Deep Neural ...

#55. Interpretable and Explainable AI and Machine Learning

Join us to explore the latest developments in artificial intelligence and machine learning across cognitive science, healthcare, and policy.

#56. Developing Explainable AI using inherently ...

Explainable AI (XAI) is traditional machine learning (ML) with a focus on model explainability, including dissecting a model's predictions, ...

#57. An Explainable Machine Learning Framework for Intrusion ...

This work is unique in the intrusion detection field, presenting the first use of the SHAP method to give explanations for IDSs, and the different ...

#58. How Does Explainable AI Help Humans Trust Test Results?

It is integrated with several of Google's products and works by analyzing machine learning predictions. As a result, artificial intelligence researchers have ...

#59. Explainable machine learning based on heterogeneous data

Methods and systems for explainable machine learning are described. In an example, a processor can receive a data set from a plurality of data sources ...

#60. Explainable AI: How humans can trust Artificial Intelligence

XAI by design. AI methods are generally categorized into machine learning (ML), machine reasoning (MR), and ...

#61. A Review of Machine Learning Interpretability Methods

of Explainable Artificial Intelligence (XAI), a field that is concerned ... As the demand for more explainable machine learning models with ...

#62. Explainable AI and Interpretation of Models

Domingos referenced a common truth about complex machine learning models, where deep learning belongs. Since they are trained rather than ...

#63. Deep Learning Reproducibility and Explainable AI (XAI)

The nondeterminism of Deep Learning (DL) training algorithms and its influence on the explainability of neural network (NN) models ...

#64. Explainable Machine Learning | TitaniumCore

TitaniumCore includes “explainable” machine learning, a groundbreaking application of machine learning algorithms and models to classify unknown malware.

#65. Building explainable machine learning models by design

State-of-the-art (SOTA) machine learning algorithms such as Random ... but fall behind linear models when it comes to model explainability.

#66. Postgraduate Course: Explainable Machine Learning

The purpose of this course is to provide and explore the principles and practice of enabling explainability in machine learning models.

#67. Explainable artificial intelligence and machine learning ...

Explainable artificial intelligence (XAI) is a crucially important aspect of improving trust and reliability of artificial intelligent and machine learning ...

#68. The Coming of Age of Interpretable and Explainable ...

2021 special session on “Interpretable Models in Machine Learning and Ex- plainable Artificial Intelligence”, we discuss explainable and interpretable.

#69. Explainable Deep Learning for Natural Language Processing

In this thesis, a general overview of Explainable AI and how explainable deep learning methods applied for NLP tasks is given. Then the Bi-directional LSTM and ...

#70. Explainable deep learning models for healthcare - CDSS 3

Offered by University of Glasgow . This course will introduce the concepts of interpretability and explainability in machine learning ... Enroll for free.

#71. Special Stream on "Explainable Machine Learning for ...

GRSL Special Streams · Transparency (regarding models, design, and algorithms) · Interpretability and explainability of machine learning models with model- ...

#72. Explainable AI: A guide for making black box machine ...

Christoph Molnar is a data scientist and PhD candidate in interpretable machine learning. Molnar has written the book "Interpretable Machine ...

#73. Explainable Machine Learning for High-Frequency Trading ...

Explainable Machine Learning for High-Frequency Trading Dynamics Discovery. 49 Pages Posted: 7 Dec 2022 Last revised: 21 Apr 2023.

#74. Challenges Towards Production-Ready Explainable ...

Machine Learning (ML) is increasingly prominent in or- ganizations. While those algorithms can provide near perfect accuracy, their decision-making process ...

#75. Explainable artificial intelligence (XAI) in banking

In 2016, author and trained mathematician Cathy O'Neil posited that machine learning models, left unchecked, can easily turn into “Weapons ...

#76. What is the difference between explainable and ...

Explainable Machine Learning is the domain of AI. It consists of interpretable models. One could say the difference is that one is a tool and ...

#77. Explainable Artificial Intelligence (xAI) Approaches and ...

Explainable Artificial Intelligence (xAI) Approaches and Deep Meta-Learning Models. Written By. Evren Dağlarli. Submitted: November 14th, 2019 Reviewed: March ...

#78. 可解释机器学习(Explainable ML)总结

... 自动化下；实在无聊了就Reinforcement Learning打打游戏，等等等等. ... 如果不局限于机器学习内容，想要对Explainable AI (XAI)有一个整体了解 ...

#79. Explainable AI for Science and Medicine - Microsoft Research

Understanding why a machine learning model makes a certain prediction can be as crucial as the prediction's accuracy in many applications.

#80. Explainability won't save AI

Much of artificial intelligence, and particularly deep learning, is plagued by the “black box problem.” While we may know the inputs and ...

#81. Chair of Explainable Machine Learning - Uni Bamberg

Chair of Explainable Machine Learning. Chair: Prof. Dr. Christian Ledig. The research group focuses on the development of robust, data-efficient methods of ...

#82. modelDown: Automate Explainable AI (Machine Learning) ...

Learn how to make machine learning models with. tidymodels. tidymodels · Unlock the cheat-code to making ANY machine learning model explainable ...

#83. Explainable Machine Learning, Game Theory, and ...

As a result, model explainability is important in machine learning. The insights obtained from such interpretability methods are useful for ...

#84. Semantic Web Technologies for Explainable Machine ...

Artificial Intelligence (AI) and Machine Learning (ML) techniques in particu- lar have had tremendous success in various tasks including medical diagnosis,.

#85. Applied Artificial Intelligence: Explainable Machine Learning ...

Explainable Machine Learning Operational Applied Research and Applications for Improved Decision-Making. Manuscript deadline 30 October 2023.

#86. Explainable Machine Learning for Trustworthy AI

Explainable Machine Learning for Trustworthy AI. Authors. Fosca Giannotti. Pages. 3 - 3. DOI. 10.3233/FAIA220304. Category. Research Article.

#87. The World Conference on eXplainable Artificial Intelligence

1st International Conference on eXplainable Artificial Intelligence (xAI 2023) Call for late-breaking results & demos (26/28 July 2023, Lisbon, Portugal) The ...

#88. Explainable AI

Can the machine learning method explain which information is used for making decisions? These are the questions solved by global explainability.

#89. SoK: Harnessing Prior Knowledge for Explainable Machine ...

The application of complex machine learning models has elicited research to make them more explainable. However, most explainability methods ...

#90. Explainable AI (XAI): Benefits and Use Cases

How machine learning is reshaping the future of demand forecasting? Data & Analytics | 6 min Read.

#91. Uncertainty-aware and explainable machine learning for ...

Uncertainty-aware and explainable machine learning for early prediction of battery degradation. 28 June 2022, Version 1. Working Paper ...

#92. Explainable machine learning for breakdown prediction in ...

Explainable machine learning for breakdown prediction in high gradient rf cavities. Christoph Obermair, Thomas Cartier-Michaud, ...

#93. Machine learning hits explainability barrier

Machine learning hits explainability barrier. Banks hire AI industry experts in face of growing regulatory scrutiny. Risk 1018 In depth Mark ...

#94. Explainable Machine Learning April 12th, 2023

On April 12h, 2023 the Data Science Initiative organized a symposium on Explainable Machine Learning. Program. First Session 14:00 – 15:30.

#95. Explainable Machine Learning Model to Predict COVID-19 ...

Explainable Machine Learning Model to Predict COVID-19 Severity Among Older Adults in the Province of Quebec. Samira Rahimi, Charlene H Chu, Roland Grad, ...

#96. Accelerating Automated and Explainable Machine ...

Accelerating Automated and Explainable Machine Learning with RAPIDS and NVIDIA GPUs. Nov 17, 2020. By Nefi Alarcon.